966 Open source projects that are alternatives of or similar to Vel

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Artificial Intelligence Learning Notes.

Machine learning algorithms for many-body quantum systems

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A reinforcement learning package for Julia

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A collection of multi agent environments based on OpenAI gym.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

This is a simple implementation of DeepMind's PySC2 RL agents.

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Build environment and train a robot arm from scratch (Reinforcement Learning)

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Bayesian Reinforcement Learning in Tensorflow

The Retro Learning Environment (RLE) -- a learning framework for AI

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A simple framework for experimenting with Reinforcement Learning in Python.

Reinforcement Learning in Go

Abstractions, algorithms, and utilities for reinforcement learning in Julia

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Reinforcement learning framework to accelerate research

Keras implementation of Non-local Neural Networks

PyTorch implementation of Soft Actor-Critic (SAC)

Classic papers and resources on recommendation

An End-To-End, Lightweight and Flexible Platform for Game Research

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Collection of stats, modeling, and data science tools in Python and R.

PyTorch Implementation of REINFORCE for both discrete & continuous control

Scalable Implementation of Deep CFR and Single Deep CFR

A life simulation for exploring social dynamics

Awesome free machine learning and AI courses with video lectures.

A universal flight control tuning framework

This project was moved to: https://github.com/coax-dev/coax

我的强化学习笔记和学习材料📖 still updating ... ...

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

An environment to high-frequency trading agents under reinforcement learning

Resources on various topics being worked on at IvLabs

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A high-performance distributed training framework for Reinforcement Learning

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Meandering In Networks of Entities to Reach Verisimilar Answers

Code for Java Deep Learning Cookbook

A structured implementation of MuZero

SenseAct: A computational framework for developing real-world robot learning tasks

Minimal and Clean Reinforcement Learning Examples

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Code for the paper "Evolved Policy Gradients"

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Unreal environments for reinforcement learning